Search

Steven J. Clipman
  • About
Avatar

Steven J. Clipman

Johns Hopkins University School of Medicine

About

I am an Assistant Professor of Medicine in the Division of Infectious Diseases at the Johns Hopkins School of Medicine, specializing in computational genetics, molecular epidemiology, and artificial intelligence applications in infectious diseases. My research integrates geometric deep learning techniques, viral phylogenetics, and social and spatial network analyses to elucidate infectious disease transmission dynamics. Currently, I lead research employing graph-based deep learning models to better understand HIV transmission and intervention delivery. We are developing novel bioinformatic tools and pangenome graph approaches to characterize the human plasma virome, and understand its role in disease processes. My lab is also working on AI-driven platforms, including large language models (LLMs) and time-series forecasting systems, for real-time outbreak detection, clinical decision support, drug demand forecasting, and optimized public health interventions.

Interests

  • Bioinformatics and Statistical Genetics
  • Geometric Deep Learning
  • Pangenome Graphs
  • Molecular Epidemiology
  • Large Language Models
  • Tropical Medicine & Global Health

Education

  • Doctor of Philosophy (Ph.D.) in Genetic Epidemiology

    Johns Hopkins University

  • Master of Science in Public Health (M.S.P.H.)

    Johns Hopkins University

  • Postbaccalaureate Fellowship in Bioinformatics

    National Institutes of Health, Laboratory of Neurogenetics

  • Bachelor of Arts (B.A.) in Bioinformatics

    Franklin & Marshall College

© 2025 Steven Clipman · Powered by GitHub · Coded with Photon & Lumen

Cite
Copy Download